code: def InitializerFromFile(path):
      """Loads parameters from .npy file."""
  
      def Initializer(shape, rng):
          del rng
          logging.info("Loading pretrained embeddings from %s", path)
          with tf.io.gfile.GFile(path, "rb") as f:
              parameters = jnp.load(f)
          assert (
              jnp.shape(parameters) == shape
          ), "Expected shape %s, got %s" % (
              shape,
              jnp.shape(parameters),
          )
          return parameters
  
      return Initializer
  
file_path: trax/trax/layers/initializers.py
imports: from absl import logging
  import numpy
  import tensorflow.compat.v2
  from trax.fastmath import numpy
  from trax.fastmath import random
label_desc: Use image node_id 2 for calling a global function with example usage: InitializerFromFile(path) and returns: Initializer, parameters